In this exercise you will learn how to enqueue ND range kernel functions.
Using the application from any exercise so far or creating a new one, enqueue a
kernel function using the parallel_for variant which takes a range but has
the kernel function take an item.
Feel free to use either the buffer/accessor model and feel free to use any method of synchronization and copy back.
When using an item you cannot pass this directly to the subscript operator of
an accessor you have to retrieve the id, you can do this by calling the
get_id member function.
Using the application from any exercise so far or creating a new one, enqueue an
ND range kernel function using the parallel_for variant which takes an
nd_range.
Remember an nd_range is made up of two ranges, the first being the global
range and the second being the local range or the work-group size.
Remember that when using this variant of parallel_for the kernel function
takes an nd_item.
Similarly to to the item when using the nd_item you cannot pass this
directly to the subscript operator of an accessor, you can retrieve the id
by calling the get_global_id member function.
Feel free to use either the buffer/accessor model and feel free to use any method of synchronization and copy back.
cmake -DSYCL_ACADEMY_USE_COMPUTECPP=ON -DSYCL_IMPLEMENTATION_INSTALL_ROOT=/insert/path/to/computecpp ..
make exercise_14_nd_range_kernel_source
./Code_Exercises/Exercise_14_ND_Range_Kernel/exercise_14_nd_range_kernel_source